Wearable devices and medical sensors revolutionize health monitoring, raising concerns
about data privacy in ML for healthcare. This tutorial explores FL and BC integration, offering …

Breast cancer is considered the most problematic of all cancers affecting women. With high
incidence and mortality rates, it is ranked as the primary and most significant health hazard …

Background: Biomedical data are usually collections of longitudinal data assessed at certain
points in time. Clinical observations assess the presences and severity of symptoms, which …

The modern Web of Things (IIoT) alludes to the use of Web of Things (IoT) innovation
underway that empowers the use of machine information created by different sensors and …

Number Plates are necessary for every vehicle. Nowadays, they are recognized for
identifying persons violating traffic rules, accused and so on. Number Plate recognition …

Lung cancer is a lethal disease that claims numerous lives annually, and early detection is
essential for improving survival rates. Machine learning has shown promise in predicting …

A variety of difficulties while attempting to transmit a file including multimedia data through
the many peers of a wireless IoT network. The system's centralization, which increases the …

Heart disease (HD) is a leading cause of mortality worldwide, emphasizing the need for
accurate and efficient detection and classification methods. Recently, Blockchain (BC) …

Blockchain and Machine Learning together can be beneficial on a large scale. The greatest
answers for carrying out diverse duties in a smart healthcare system come from combining …

Breast cancer is now the most prominent female cancer in both developing and developed
nations, and that it is the largest risk factor for mortality worldwide. Notwithstanding the well …